Works matching IS 14200597 AND DT 2024 AND VI 28 AND IP 6
Results: 25
A discrete fracture matrix framework for simulating single-phase flow and non-isothermal reactive transport.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1483, doi. 10.1007/s10596-024-10327-5
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- Article
A sensitivity analysis of the impact of shut-in water cut of reactive control on net present value of waterflooding under reservoir uncertainty.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1459, doi. 10.1007/s10596-024-10326-6
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Source localization in subsurface aquifers based on conservation data by learning a Gaussian kernel.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1441, doi. 10.1007/s10596-024-10325-7
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- Article
Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1425, doi. 10.1007/s10596-024-10324-8
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Neural networks for source mechanism inversion from surface microseismic data.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1413, doi. 10.1007/s10596-024-10323-9
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- Article
Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1331, doi. 10.1007/s10596-024-10321-x
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High-speed algorithm for computing the inflow to multiple-fractured horizontal wells using stream tubes.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1389, doi. 10.1007/s10596-024-10322-w
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Application of deep learning reduced-order modeling for single-phase flow in faulted porous media.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1279, doi. 10.1007/s10596-024-10320-y
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High-order exponential integration for seismic wave modeling.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1349, doi. 10.1007/s10596-024-10319-5
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Application of supervised machine learning to assess and manage fluid-injection-induced seismicity hazards based on the Montney region of northeastern British Columbia.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1251, doi. 10.1007/s10596-024-10318-6
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Towards practical artificial intelligence in Earth sciences.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1305, doi. 10.1007/s10596-024-10317-7
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A general approach to computing derivatives for Hessian-based seismic inversion.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1233, doi. 10.1007/s10596-024-10316-8
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- Article
A recipe to generate sustainably maintainable and extensible hydrogeological datasets to prepare large-scale groundwater models for multiple aquifer systems.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1217, doi. 10.1007/s10596-024-10315-9
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- Article
A novel hierarchical model calibration method for deep water reservoirs under depletion and aquifer influence.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1131, doi. 10.1007/s10596-024-10314-w
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Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1175, doi. 10.1007/s10596-024-10313-x
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Modeling alterations in relative permeability curves due to salinity using artificial neural networks.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1115, doi. 10.1007/s10596-024-10312-y
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A numerical model for offshore Geological Carbon Storage (GCS) undergoing hydrate formation.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1085, doi. 10.1007/s10596-024-10311-z
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Consistent prediction of well paths and geological surfaces.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1099, doi. 10.1007/s10596-024-10310-0
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Adaptive regularization for the Richards equation.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1371, doi. 10.1007/s10596-024-10309-7
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A modified Flux Corrected Transport method coupled with the MPFA-H formulation for the numerical simulation of two-phase flows in petroleum reservoirs using 2D unstructured meshes.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1149, doi. 10.1007/s10596-024-10306-w
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Application of a dispersive wave hydro-sediment-morphodynamic model in the Ria Formosa lagoon.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1031, doi. 10.1007/s10596-024-10305-x
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Unsupervised segmentation for sandstone thin section image analysis.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1049, doi. 10.1007/s10596-024-10304-y
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Contact algorithm of the material point method and comparison with the finite element method.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1015, doi. 10.1007/s10596-024-10302-0
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- Article
Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 991, doi. 10.1007/s10596-024-10300-2
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Less-Intrusive Consistent Discretization Methods for Reservoir Simulation on Cut-cell Grids – Algorithms, Implementation, and Testing.
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- Computational Geosciences, 2024, v. 28, n. 6, p. 1059, doi. 10.1007/s10596-024-10299-6
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